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Article: Power of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data

TitlePower of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data
Authors
Issue Date2000
PublisherCell Press. The Journal's web site is located at http://www.cell.com/AJHG/
Citation
American Journal Of Human Genetics, 2000, v. 66 n. 5, p. 1616-1630 How to Cite?
Abstract
Optimal design of quantitative-trait loci (QTL) mapping studies requires a precise understanding of the power of QTL linkage versus QTL association analysis, under a range of different conditions. In this article, we investigate the power of QTL linkage and association analyses for simple random sibship samples, under the variance-components model proposed by Fulker et al. After a brief description of an extension of this variance- components model, we show that the powers of both linkage and association analyses are crucially dependent on the proportion of phenotypic variance attributable to the QTL. The main difference between the two tests is that, whereas the power of association is directly related to the QTL heritability, the power of linkage is related more closely to the square of the QTL heritability. We also describe both how the power of linkage is attenuated by incomplete linkage and incomplete marker information and how the power of association is attenuated by incomplete linkage disequilibrium.
Persistent Identifierhttp://hdl.handle.net/10722/143694
ISSN
2013 Impact Factor: 10.987
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorSham, PCen_HK
dc.contributor.authorCherny, SSen_HK
dc.contributor.authorPurcell, Sen_HK
dc.contributor.authorHewitt, JKen_HK
dc.date.accessioned2011-12-16T08:09:34Z-
dc.date.available2011-12-16T08:09:34Z-
dc.date.issued2000en_HK
dc.identifier.citationAmerican Journal Of Human Genetics, 2000, v. 66 n. 5, p. 1616-1630en_HK
dc.identifier.issn0002-9297en_HK
dc.identifier.urihttp://hdl.handle.net/10722/143694-
dc.description.abstractOptimal design of quantitative-trait loci (QTL) mapping studies requires a precise understanding of the power of QTL linkage versus QTL association analysis, under a range of different conditions. In this article, we investigate the power of QTL linkage and association analyses for simple random sibship samples, under the variance-components model proposed by Fulker et al. After a brief description of an extension of this variance- components model, we show that the powers of both linkage and association analyses are crucially dependent on the proportion of phenotypic variance attributable to the QTL. The main difference between the two tests is that, whereas the power of association is directly related to the QTL heritability, the power of linkage is related more closely to the square of the QTL heritability. We also describe both how the power of linkage is attenuated by incomplete linkage and incomplete marker information and how the power of association is attenuated by incomplete linkage disequilibrium.en_HK
dc.publisherCell Press. The Journal's web site is located at http://www.cell.com/AJHG/en_HK
dc.relation.ispartofAmerican Journal of Human Geneticsen_HK
dc.titlePower of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship dataen_HK
dc.typeArticleen_HK
dc.identifier.emailSham, PC: pcsham@hku.hken_HK
dc.identifier.emailCherny, SS: cherny@hku.hken_HK
dc.identifier.authoritySham, PC=rp00459en_HK
dc.identifier.authorityCherny, SS=rp00232en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1086/302891en_HK
dc.identifier.pmid10762547en_HK
dc.identifier.scopuseid_2-s2.0-0033927466en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0033927466&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume66en_HK
dc.identifier.issue5en_HK
dc.identifier.spage1616en_HK
dc.identifier.epage1630en_HK
dc.identifier.isiWOS:000088373700016-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridSham, PC=34573429300en_HK
dc.identifier.scopusauthoridCherny, SS=7004670001en_HK
dc.identifier.scopusauthoridPurcell, S=7005489464en_HK
dc.identifier.scopusauthoridHewitt, JK=7202713286en_HK

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